ADVANCED DATA SCIENCE FELLOWSHIP
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AcumenITTrainingInc 0
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COURSE DESCRIPTION
This course will focus on hands-on data analyses with a main objective of solving real-world problems. It teach the necessary skills to gather, manage and analyze data using the python programming language.
COURSE OUTLINE
Day 1
Identify Dataset and Use Case
• Overview of Architectural Methodologies
• Data Sources and Use Cases
• Initial Data Exploration
• Architectural Decisions Document (ADD)
Day 2
ETL and Feature Creation
• Extract Transform Load (ETL)
• Data Cleansing
• Feature Engineering
Day 3
Model Definition and Training
• Model Definition
• Model Training
Model Evaluation, Tuning, Deployment and Documentation
• Model Evaluation
• Model Deployment
For FULL COURSE OUTLINE, please contact us. Please contact us for the schedules and for booking a private class.
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Working hours
| Monday | 9:00 am - 6.00 pm |
| Tuesday | 9:00 am - 6.00 pm |
| Wednesday | 9:00 am - 6.00 pm |
| Thursday | 9:00 am - 6.00 pm |
| Friday | 9:00 am - 6.00 pm |
| Saturday | Closed |
| Sunday | Closed |